{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [In-Depth: Kernel Density Estimation](05.13-Kernel-Density-Estimation.ipynb) | [Contents](Index.ipynb) | [Further Machine Learning Resources](05.15-Learning-More.ipynb) >\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.14-Image-Features.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Application: A Face Detection Pipeline\n",
    "\n",
    "# 应用：脸部检测管道"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> This chapter has explored a number of the central concepts and algorithms of machine learning.\n",
    "But moving from these concepts to real-world application can be a challenge.\n",
    "Real-world datasets are noisy and heterogeneous, may have missing features, and data may be in a form that is difficult to map to a clean ``[n_samples, n_features]`` matrix.\n",
    "Before applying any of the methods discussed here, you must first extract these features from your data: there is no formula for how to do this that applies across all domains, and thus this is where you as a data scientist must exercise your own intuition and expertise.\n",
    "\n",
    "本章讨论了很多的机器学习中关键的概念和算法。但是将这些概念移到真实世界应用仍然是一个挑战。真实世界数据集是充满噪声和异构的，可能缺失特征，并且数据也可能存在与一种难以映射到`[n_samples, n_features]`矩阵的结构中。在应用任何前面介绍的方法之前，你必须首先从数据中提取这些特征：这个步骤是没有公式，没有万能做法的，因此这是你作为数据科学家必须培养的直觉和经验。\n",
    "\n",
    "> One interesting and compelling application of machine learning is to images, and we have already seen a few examples of this where pixel-level features are used for classification.\n",
    "In the real world, data is rarely so uniform and simple pixels will not be suitable: this has led to a large literature on *feature extraction* methods for image data (see [Feature Engineering](05.04-Feature-Engineering.ipynb)).\n",
    "\n",
    "机器学习中一个有趣和受人瞩目的领域是图像，前面我们已经举了一些这方面的例子，基本都是使用像素级的特征来进行分类。在真实世界中，数据很少能够如此规则，简单的像素也是不可能的：这导致出现了大量关于图像数据的*特征提取*方法的文献（参见[特征工程](05.04-Feature-Engineering.ipynb)）。\n",
    "\n",
    "> In this section, we will take a look at one such feature extraction technique, the [Histogram of Oriented Gradients](https://en.wikipedia.org/wiki/Histogram_of_oriented_gradients) (HOG), which transforms image pixels into a vector representation that is sensitive to broadly informative image features regardless of confounding factors like illumination.\n",
    "We will use these features to develop a simple face detection pipeline, using machine learning algorithms and concepts we've seen throughout this chapter. \n",
    "\n",
    "在本节中我们会看一下这种特征提取技巧，称为[方向梯度直方图](https://en.wikipedia.org/wiki/Histogram_of_oriented_gradients)（HOG），它将图像像素转换成一个向量表示，这个向量表示形式对于广泛的图像特征信息敏感，而不会收到混杂信息例如明亮度的影响。我们将会使用这些特征开发一个简单的脸部检测管道，当中使用了本章中学习到的机器学习算法和概念。\n",
    "\n",
    "> We begin with the standard imports:\n",
    "\n",
    "导入包："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns; sns.set()\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## HOG Features\n",
    "\n",
    "## HOG特征\n",
    "\n",
    "> The Histogram of Gradients is a straightforward feature extraction procedure that was developed in the context of identifying pedestrians within images.\n",
    "HOG involves the following steps:\n",
    "\n",
    "> 1. Optionally pre-normalize images. This leads to features that resist dependence on variations in illumination.\n",
    "2. the image with two filters that are sensitive to horizontal and vertical brightness gradients. These capture edge, contour, and texture information.\n",
    "3. Subdivide the image into cells of a predetermined size, and compute a histogram of the gradient orientations within each cell.\n",
    "4. Normalize the histograms in each cell by comparing to the block of neighboring cells. This further suppresses the effect of illumination across the image.\n",
    "5. Construct a one-dimensional feature vector from the information in each cell.\n",
    "\n",
    "梯度直方图是一个很直接的特征提取方法，它是从图像中识别行人的应用中发展起来的。HOG包括下面的步骤：\n",
    "\n",
    "1. 可选的预标准化图像。这能将图像特征变现出来，并且不依赖于图像亮度的变化。\n",
    "2. 使用两个过滤器对图像进行卷积处理，这两个过滤器分别对于水平和垂直亮度梯度敏感。本步骤能捕获边缘、轮廓和纹理信息。\n",
    "3. 将图像切分成预定大小的块，然后计算每块图像的方向梯度直方图。\n",
    "4. 在每块图像中通过和邻近块的比较对直方图进行标准化，这能进一步削弱图像明亮度的影响。\n",
    "5. 在每块图像中构建一个一维特征向量。\n",
    "\n",
    "> A fast HOG extractor is built into the Scikit-Image project, and we can try it out relatively quickly and visualize the oriented gradients within each cell:\n",
    "\n",
    "Scikit-Learn內建了一个快速的HOG提取器，我们可以使用它快速的建立每块图像的方向梯度并将其可视化："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x432 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from skimage import data, color, feature\n",
    "import skimage.data\n",
    "\n",
    "image = color.rgb2gray(data.chelsea())\n",
    "hog_vec, hog_vis = feature.hog(image, visualize=True)\n",
    "\n",
    "fig, ax = plt.subplots(1, 2, figsize=(12, 6),\n",
    "                       subplot_kw=dict(xticks=[], yticks=[]))\n",
    "ax[0].imshow(image, cmap='gray')\n",
    "ax[0].set_title('input image')\n",
    "\n",
    "ax[1].imshow(hog_vis)\n",
    "ax[1].set_title('visualization of HOG features');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## HOG in Action: A Simple Face Detector\n",
    "\n",
    "## HOG实战：一个简单的脸部检测器\n",
    "\n",
    "> Using these HOG features, we can build up a simple facial detection algorithm with any Scikit-Learn estimator; here we will use a linear support vector machine (refer back to [In-Depth: Support Vector Machines](05.07-Support-Vector-Machines.ipynb) if you need a refresher on this).\n",
    "The steps are as follows:\n",
    "\n",
    "> 1. Obtain a set of image thumbnails of faces to constitute \"positive\" training samples.\n",
    "2. Obtain a set of image thumbnails of non-faces to constitute \"negative\" training samples.\n",
    "3. Extract HOG features from these training samples.\n",
    "4. Train a linear SVM classifier on these samples.\n",
    "5. For an \"unknown\" image, pass a sliding window across the image, using the model to evaluate whether that window contains a face or not.\n",
    "6. If detections overlap, combine them into a single window.\n",
    "\n",
    "使用这些HOG特征，我们可以使用Scikit-Learn品鼓起构建一个简单的脸部检测算法；下面我们会使用线性支持向量机（复习参见[深入：支持向量机](05.07-Support-Vector-Machines.ipynb)）。算法的步骤如下：\n",
    "\n",
    "1. 获取一系列脸部缩略图像来组成“正”训练样本。\n",
    "2. 获取一系列不含脸部的缩略图想来组成“负”训练样本。\n",
    "3. 从这些训练样本中提取HOG特征。\n",
    "4. 在这些样本上训练一个线性SVM分类器。\n",
    "5. 对于一张“未知”图像，使用一个滑动窗口扫描图像，使用模型来计算该窗口中是否包含脸部。\n",
    "6. 如果检测到重叠，将它们合并成单个窗口。\n",
    "\n",
    "> Let's go through these steps and try it out:\n",
    "\n",
    "下面我们一步一步来实现算法并测试效果："
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Obtain a set of positive training samples\n",
    "\n",
    "### 1. 获得一系列正训练样本\n",
    "\n",
    "> Let's start by finding some positive training samples that show a variety of faces.\n",
    "We have one easy set of data to work with—the Labeled Faces in the Wild dataset, which can be downloaded by Scikit-Learn:\n",
    "\n",
    "让我们首先找一些正训练样本内含不同的脸部图像。我们之前使用的Wild数据集中就有这样的带标签图像，可以使用Scikit-Learn进行下载："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(13233, 62, 47)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.datasets import fetch_lfw_people\n",
    "faces = fetch_lfw_people()\n",
    "positive_patches = faces.images\n",
    "positive_patches.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> This gives us a sample of 13,000 face images to use for training.\n",
    "\n",
    "这能提供我们13000张脸部图像来进行训练。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Obtain a set of negative training samples\n",
    "\n",
    "### 2. 获得一系列负训练样本\n",
    "\n",
    "> Next we need a set of similarly sized thumbnails which *do not* have a face in them.\n",
    "One way to do this is to take any corpus of input images, and extract thumbnails from them at a variety of scales.\n",
    "Here we can use some of the images shipped with Scikit-Image, along with Scikit-Learn's ``PatchExtractor``:\n",
    "\n",
    "然后我们需要一系列的相似大小的缩略图其中不含有任何脸部图像。一个简单的办法是使用任何的输入图像集，然后从这些不同大小的图像中提取缩略图。下面我们会使用Scikit-Learn自带的一些图像，然后通过Scikit-Learn的`PatchExtractor`来提取缩略图："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from skimage import data, transform\n",
    "\n",
    "imgs_to_use = ['camera', 'text', 'coins', 'moon',\n",
    "               'page', 'clock', 'immunohistochemistry',\n",
    "               'chelsea', 'coffee', 'hubble_deep_field']\n",
    "images = [color.rgb2gray(getattr(data, name)())\n",
    "          for name in imgs_to_use]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(30000, 62, 47)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.feature_extraction.image import PatchExtractor\n",
    "\n",
    "def extract_patches(img, N, scale=1.0, patch_size=positive_patches[0].shape):\n",
    "    extracted_patch_size = tuple((scale * np.array(patch_size)).astype(int))\n",
    "    extractor = PatchExtractor(patch_size=extracted_patch_size,\n",
    "                               max_patches=N, random_state=0)\n",
    "    patches = extractor.transform(img[np.newaxis])\n",
    "    if scale != 1:\n",
    "        patches = np.array([transform.resize(patch, patch_size)\n",
    "                            for patch in patches])\n",
    "    return patches\n",
    "\n",
    "negative_patches = np.vstack([extract_patches(im, 1000, scale)\n",
    "                              for im in images for scale in [0.5, 1.0, 2.0]])\n",
    "negative_patches.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We now have 30,000 suitable image patches which do not contain faces.\n",
    "Let's take a look at a few of them to get an idea of what they look like:\n",
    "\n",
    "于是我们就有了30000张不含脸部的图像作为负训练样本。下面看看其中的部分负样本图像："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 60 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(6, 10)\n",
    "for i, axi in enumerate(ax.flat):\n",
    "    axi.imshow(negative_patches[500 * i], cmap='gray')\n",
    "    axi.axis('off')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Our hope is that these would sufficiently cover the space of \"non-faces\" that our algorithm is likely to see.\n",
    "\n",
    "我们希望这些图像足够覆盖了“不含脸部”的样本空间，能让我们的算法正常工作。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Combine sets and extract HOG features\n",
    "\n",
    "### 3. 合并集合并提取HOG特征\n",
    "\n",
    "> Now that we have these positive samples and negative samples, we can combine them and compute HOG features.\n",
    "This step takes a little while, because the HOG features involve a nontrivial computation for each image:\n",
    "\n",
    "获得了正样本和负样本之后，我们就能将它们合并在一起然后计算HOG特征。这一步需要较长时间，因为提取HOG特征包含了对每张图像进行复杂的计算过程："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import chain\n",
    "X_train = np.array([feature.hog(im)\n",
    "                    for im in chain(positive_patches,\n",
    "                                    negative_patches)])\n",
    "y_train = np.zeros(X_train.shape[0])\n",
    "y_train[:positive_patches.shape[0]] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(43233, 1215)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We are left with 43,000 training samples in 1,215 dimensions, and we now have our data in a form that we can feed into Scikit-Learn!\n",
    "\n",
    "于是我们就有了43000个训练样本，每个样本都有1215个维度，所有的数据准备工作完成，我们可以用他们训练模型了。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Training a support vector machine\n",
    "\n",
    "### 4. 训练支持向量机模型\n",
    "\n",
    "> Next we use the tools we have been exploring in this chapter to create a classifier of thumbnail patches.\n",
    "For such a high-dimensional binary classification task, a Linear support vector machine is a good choice.\n",
    "We will use Scikit-Learn's ``LinearSVC``, because in comparison to ``SVC`` it often has better scaling for large number of samples.\n",
    "\n",
    "下一步可以使用本章介绍的工具来创建缩略图的分类器了。对于这样一个高维两个分类的任务来说，线性支持向量机是很好的选择。我们会使用Scikit-Learn的`LinearSVC`，因为在大样本数量情况下，对比`SVC`它具有更好的扩展性。\n",
    "\n",
    "> First, though, let's use a simple Gaussian naive Bayes to get a quick baseline:\n",
    "\n",
    "当然首先我们会使用高斯朴素贝叶斯来获得一个基线："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.95385469, 0.97349247, 0.97501908])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.naive_bayes import GaussianNB\n",
    "from sklearn.model_selection import cross_val_score\n",
    "\n",
    "cross_val_score(GaussianNB(), X_train, y_train, cv=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We see that on our training data, even a simple naive Bayes algorithm gets us upwards of 90% accuracy.\n",
    "Let's try the support vector machine, with a grid search over a few choices of the C parameter:\n",
    "\n",
    "上面的结果说明即使只是一个简单的朴素贝叶斯算法也能达到超过90%的准确率。下面试验支持向量机，在不同的一些C参数上使用网格搜索验证：\n",
    "\n",
    "译者注：下面代码设置了`cv=3`以满足新版Scikit-Learn要求，添加`dual=False`压制警告输出。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9891286748548562"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import LinearSVC\n",
    "from sklearn.model_selection import GridSearchCV\n",
    "grid = GridSearchCV(LinearSVC(dual=False), {'C': [1.0, 2.0, 4.0, 8.0]}, cv=3)\n",
    "grid.fit(X_train, y_train)\n",
    "grid.best_score_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'C': 1.0}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grid.best_params_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Let's take the best estimator and re-train it on the full dataset:\n",
    "\n",
    "然后使用最优的评估器并重新在这个模型上进行训练："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearSVC(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
       "          intercept_scaling=1, loss='squared_hinge', max_iter=1000,\n",
       "          multi_class='ovr', penalty='l2', random_state=None, tol=0.0001,\n",
       "          verbose=0)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = grid.best_estimator_\n",
    "model.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Find faces in a new image\n",
    "\n",
    "### 5. 在新图像中寻找脸部\n",
    "\n",
    "> Now that we have this model in place, let's grab a new image and see how the model does.\n",
    "We will use one portion of the astronaut image for simplicity (see discussion of this in [Caveats and Improvements](#Caveats-and-Improvements)), and run a sliding window over it and evaluate each patch:\n",
    "\n",
    "现在模型已经准备好了，让我们使用一张新的图像看模型工作的情况。简单起见我们会使用一张宇航员的部分照片图像（参见[注意事项和改进](#Caveats-and-Improvements)），然后使用一个滑动窗口在上面计算每个块是否包含脸部："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_image = skimage.data.astronaut()\n",
    "test_image = skimage.color.rgb2gray(test_image)\n",
    "test_image = skimage.transform.rescale(test_image, 0.5, multichannel=False)\n",
    "test_image = test_image[:160, 40:180]\n",
    "\n",
    "plt.imshow(test_image, cmap='gray')\n",
    "plt.axis('off');"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Next, let's create a window that iterates over patches of this image, and compute HOG features for each patch:\n",
    "\n",
    "然后让我们创建窗口并在图像上每个块上迭代计算，得到每块图像HOG特征："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1911, 1215)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def sliding_window(img, patch_size=positive_patches[0].shape,\n",
    "                   istep=2, jstep=2, scale=1.0):\n",
    "    Ni, Nj = (int(scale * s) for s in patch_size)\n",
    "    for i in range(0, img.shape[0] - Ni, istep):\n",
    "        for j in range(0, img.shape[1] - Ni, jstep):\n",
    "            patch = img[i:i + Ni, j:j + Nj]\n",
    "            if scale != 1:\n",
    "                patch = transform.resize(patch, patch_size)\n",
    "            yield (i, j), patch\n",
    "            \n",
    "indices, patches = zip(*sliding_window(test_image))\n",
    "patches_hog = np.array([feature.hog(patch) for patch in patches])\n",
    "patches_hog.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> Finally, we can take these HOG-featured patches and use our model to evaluate whether each patch contains a face:\n",
    "\n",
    "最后，我们可以对这些HOG特征块使用前面的模型来计算里面是否包含脸部："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "49.0"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels = model.predict(patches_hog)\n",
    "labels.sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> We see that out of nearly 2,000 patches, we have found 30 detections.\n",
    "Let's use the information we have about these patches to show where they lie on our test image, drawing them as rectangles:\n",
    "\n",
    "上面两个结果告诉我们有接近2000个HOG特征块，我们检测到了接近50个脸部特征。让我们将这些检测到的HOG块使用矩形绘制在测试图像之上："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
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    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.imshow(test_image, cmap='gray')\n",
    "ax.axis('off')\n",
    "\n",
    "Ni, Nj = positive_patches[0].shape\n",
    "indices = np.array(indices)\n",
    "\n",
    "for i, j in indices[labels == 1]:\n",
    "    ax.add_patch(plt.Rectangle((j, i), Nj, Ni, edgecolor='red',\n",
    "                               alpha=0.3, lw=2, facecolor='none'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> All of the detected patches overlap and found the face in the image!\n",
    "Not bad for a few lines of Python.\n",
    "\n",
    "所有检测到HOG特征块重叠在一起并且都是检测到了图像中的脸部。仅使用了Python几行代码达到这个效果还是非常不错的。"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "## Caveats and Improvements\n",
    "\n",
    "## 注意事项和改进\n",
    "\n",
    "> If you dig a bit deeper into the preceding code and examples, you'll see that we still have a bit of work before we can claim a production-ready face detector.\n",
    "There are several issues with what we've done, and several improvements that could be made. In particular:\n",
    "\n",
    "如果你对前面代码和例子挖掘的更加深入一点，你会发现如果我们需要将这个检测器投入生产使用，还需要更多的工作。我们已经完成的部分有一些问题，也有一些改进方案可以继续实现。具体来说：\n",
    "\n",
    "### Our training set, especially for negative features, is not very complete\n",
    "\n",
    "### 我们的训练集，特别是负特征样本，并不全面\n",
    "\n",
    "> The central issue is that there are many face-like textures that are not in the training set, and so our current model is very prone to false positives.\n",
    "You can see this if you try out the above algorithm on the *full* astronaut image: the current model leads to many false detections in other regions of the image.\n",
    "\n",
    "这个问题的核心是，有很多的类似脸部特征纹理的图像并没有出现在我们的训练集中，因此我们目前的模型很容易产生假阳性结果。如果使用*完整的*宇航员图像来试验上面的算法你就能发现这点：目前的模型会在图像其他区域产生很多的假阳性。\n",
    "\n",
    "> We might imagine addressing this by adding a wider variety of images to the negative training set, and this would probably yield some improvement.\n",
    "Another way to address this is to use a more directed approach, such as *hard negative mining*.\n",
    "In hard negative mining, we take a new set of images that our classifier has not seen, find all the patches representing false positives, and explicitly add them as negative instances in the training set before re-training the classifier.\n",
    "\n",
    "我们可以期望通过增加更广泛的负样本训练集图像解决这个问题，这回产生更好的结果。另外一个解决方案更加直接，被称为“硬阴性挖掘”。这个方法中我们会使用一系列分类器没见过的图像，找出其中模型检测出来的假阳性，然后明确的将这些图像块加入到负样本中重新训练分类器。\n",
    "\n",
    "### Our current pipeline searches only at one scale\n",
    "\n",
    "### 我们现在的管道仅能搜索一个尺度\n",
    "\n",
    "> As currently written, our algorithm will miss faces that are not approximately 62×47 pixels.\n",
    "This can be straightforwardly addressed by using sliding windows of a variety of sizes, and re-sizing each patch using ``skimage.transform.resize`` before feeding it into the model.\n",
    "In fact, the ``sliding_window()`` utility used here is already built with this in mind.\n",
    "\n",
    "如上的算法会无法检测到尺寸不是大约62×47像素的脸部图像。这可以直接通过使用不同大小的滑动窗口，然后将需检测的图像通过`skimage.transform.resize`转换成需要的大小在提供给模型进行检测。实际上我们定义的`sliding_window()`函数已经实现了这个方案。\n",
    "\n",
    "### We should combine overlapped detection patches\n",
    "\n",
    "### 重叠的检测区域应该被合并\n",
    "\n",
    "> For a production-ready pipeline, we would prefer not to have 30 detections of the same face, but to somehow reduce overlapping groups of detections down to a single detection.\n",
    "This could be done via an unsupervised clustering approach (MeanShift Clustering is one good candidate for this), or via a procedural approach such as *non-maximum suppression*, an algorithm common in machine vision.\n",
    "\n",
    "对于应用到生产的算法，我们肯定不希望对同一张脸提供50个的检测结果，而是应该将这些重叠区域合并成一个检测结果。这可以通过无监督聚类方法实现（均值漂移MeanShift聚类在这个场景下是一个好选择），或者通过诸如非极大值抑制（在机器视觉领域很通用）之类的过程方法来解决。\n",
    "\n",
    "### The pipeline should be streamlined\n",
    "\n",
    "### 管道应该封装工程化\n",
    "\n",
    "> Once we address these issues, it would also be nice to create a more streamlined pipeline for ingesting training images and predicting sliding-window outputs.\n",
    "This is where Python as a data science tool really shines: with a bit of work, we could take our prototype code and package it with a well-designed object-oriented API that give the user the ability to use this easily.\n",
    "I will leave this as a proverbial \"exercise for the reader\".\n",
    "\n",
    "上面的管道代码还不够通用，如果我们能创建一个流畅管道来消化训练图像和预测滑动窗口输出的话，会更加理想。这也是Python作为数据科学工具真正闪亮的地方：只需要一点额外的工作，我们就能将我们的圆形代码封装成一个良好设计的面向对象API，为用户提供简单的接口和方便的应用。作者将这个留作“给读者的练习”。\n",
    "\n",
    "### More recent advances: Deep Learning\n",
    "\n",
    "### 最近的进步：深度学习\n",
    "\n",
    "> Finally, I should add that HOG and other procedural feature extraction methods for images are no longer state-of-the-art techniques.\n",
    "Instead, many modern object detection pipelines use variants of deep neural networks: one way to think of neural networks is that they are an estimator which determines optimal feature extraction strategies from the data, rather than relying on the intuition of the user.\n",
    "An intro to these deep neural net methods is conceptually (and computationally!) beyond the scope of this section, although open tools like Google's [TensorFlow](https://www.tensorflow.org/) have recently made deep learning approaches much more accessible than they once were.\n",
    "As of the writing of this book, deep learning in Python is still relatively young, and so I can't yet point to any definitive resource.\n",
    "That said, the list of references in the following section should provide a useful place to start!\n",
    "\n",
    "最后，作者要指出图像的HOG和其他过程特征提取方法已经不再是前沿的技术。取而代之的是更加现在的检测方式，使用不同的深度神经网络：神经网络可以被认为是一种通过数据来确定最优特征提取的评估器，而不是依赖于用户的直觉。对这些深度神经网络方法的介绍超越了本节的范围，虽然开源工具如谷歌的[TensorFlow](https://www.tensorflow.org/)最近将深度学习方法变得非常容易掌握。当编写这本书时，Python的深度学习依然比较年轻，因此作者无法提供很确定的资源。也就是说下一届的参考列表应该是作为读者起步的好地方。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [In-Depth: Kernel Density Estimation](05.13-Kernel-Density-Estimation.ipynb) | [Contents](Index.ipynb) | [Further Machine Learning Resources](05.15-Learning-More.ipynb) >\n",
    "\n",
    "<a href=\"https://colab.research.google.com/github/jakevdp/PythonDataScienceHandbook/blob/master/notebooks/05.14-Image-Features.ipynb\"><img align=\"left\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open in Colab\" title=\"Open and Execute in Google Colaboratory\"></a>\n"
   ]
  }
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